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2009 (v1)PublicationUploaded on: March 31, 2023
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2003 (v1)Publication
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1997 (v1)Publication
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2005 (v1)Publication
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2000 (v1)Publication
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2007 (v1)Publication
Experimental models are very useful to tune and to test diagnostics and monitoring pro¬cedures, being able to produce at will anomalous operation conditions, without compromising operation or production schedule and profits and to provide real world signals, i.e. true experimental sig¬nals of sensors; in addition they are also very important...
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2004 (v1)Publication
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2007 (v1)Publication
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1997 (v1)Publication
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2008 (v1)Publication
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1979 (v1)Publication
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2004 (v1)Publication
The paper considers methodologies for rotating machinery diagnostics based on the application of clustering techniques, i.e. on the automatic classification of data into groups. Different algorithms of clustering have been used on data taken from an experimental model of rotor in different anomalous operation conditions (rubbing, cracked shaft,...
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1986 (v1)Publication
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2003 (v1)Publication
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1993 (v1)Publication
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2009 (v1)Publication
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1989 (v1)Publication
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1992 (v1)Publication
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2008 (v1)Publication
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2008 (v1)Publication
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2008 (v1)Publication
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2008 (v1)Publication
Experimental models are very useful to tune and to test diagnostics and monitoring pro¬cedures, being able to produce at will anomalous operation conditions, without compromising operation or production schedule and profits and to provide real world signals, i.e. true experimental sig¬nals of sensors; in addition they are also very important...
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1999 (v1)Publication
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2003 (v1)Publication
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1993 (v1)Publication
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